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array:23 [ "pii" => "S0210569117303315" "issn" => "02105691" "doi" => "10.1016/j.medin.2017.11.002" "estado" => "S300" "fechaPublicacion" => "2019-01-01" "aid" => "1141" "copyright" => "Elsevier España, S.L.U. y SEMICYUC" "copyrightAnyo" => "2017" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Med Intensiva. 2019;43:10-7" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 2226 "formatos" => array:3 [ "EPUB" => 163 "HTML" => 1579 "PDF" => 484 ] ] "itemSiguiente" => array:19 [ "pii" => "S0210569117303327" "issn" => "02105691" "doi" => "10.1016/j.medin.2017.11.003" "estado" => "S300" "fechaPublicacion" => "2019-01-01" "aid" => "1142" "copyright" => "Elsevier España, S.L.U. y SEMICYUC" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Med Intensiva. 2019;43:18-25" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 2693 "formatos" => array:3 [ "EPUB" => 161 "HTML" => 1900 "PDF" => 632 ] ] "es" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original</span>" "titulo" => "Contaminación microbiológica en humidificadores de sistemas de oxigenoterapia de alto y bajo flujo: una revisión sistemática" "tienePdf" => "es" "tieneTextoCompleto" => "es" "tieneResumen" => array:2 [ 0 => "es" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "18" "paginaFinal" => "25" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "Microbiological contamination in high and low flow oxygen humidifiers: A systematic review" ] ] "contieneResumen" => array:2 [ "es" => true "en" => true ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figura 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1699 "Ancho" => 1500 "Tamanyo" => 213384 ] ] "descripcion" => array:1 [ "es" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Proceso de selección de estudios.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "I. de la Fuente-Sancho, Ó. Romeu-Bordas, I. Fernández-Aedo, G. Vallejo De la Hoz, S. Ballesteros-Peña" "autores" => array:5 [ 0 => array:2 [ "nombre" => "I." "apellidos" => "de la Fuente-Sancho" ] 1 => array:2 [ "nombre" => "Ó." "apellidos" => "Romeu-Bordas" ] 2 => array:2 [ "nombre" => "I." "apellidos" => "Fernández-Aedo" ] 3 => array:2 [ "nombre" => "G." "apellidos" => "Vallejo De la Hoz" ] 4 => array:2 [ "nombre" => "S." 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Terada, S. Inoue, M. Konda, J. Egawa, J. Ueda, T. Kirita, M. Kawaguchi" "autores" => array:7 [ 0 => array:2 [ "nombre" => "Y." "apellidos" => "Terada" ] 1 => array:2 [ "nombre" => "S." "apellidos" => "Inoue" ] 2 => array:2 [ "nombre" => "M." "apellidos" => "Konda" ] 3 => array:2 [ "nombre" => "J." "apellidos" => "Egawa" ] 4 => array:2 [ "nombre" => "J." "apellidos" => "Ueda" ] 5 => array:2 [ "nombre" => "T." "apellidos" => "Kirita" ] 6 => array:2 [ "nombre" => "M." "apellidos" => "Kawaguchi" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0210569117303303?idApp=WMIE" "url" => "/02105691/0000004300000001/v2_201906110929/S0210569117303303/v2_201906110929/en/main.assets" ] "en" => array:19 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Ultrasound stroke volume variation induced by passive leg raising and fluid responsiveness: An observational cohort study" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "10" "paginaFinal" => "17" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "A. Trifi, S. Abdellatif, F. Daly, R. Nasri, Y. Touil, S. Ben Lakhal" "autores" => array:6 [ 0 => array:4 [ "nombre" => "A." "apellidos" => "Trifi" "email" => array:1 [ 0 => "ahlem.ahurabta@gmail.com" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "S." "apellidos" => "Abdellatif" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 2 => array:3 [ "nombre" => "F." "apellidos" => "Daly" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 3 => array:3 [ "nombre" => "R." "apellidos" => "Nasri" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 4 => array:3 [ "nombre" => "Y." "apellidos" => "Touil" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 5 => array:3 [ "nombre" => "S." "apellidos" => "Ben Lakhal" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Medical Intensive Care Unit, University Hospital Center La Rabta, Tunis, Tunisia" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Faculty of Medicine, University Tunis El Manar, Tunis, Tunisia" "etiqueta" => "b" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Variación ultrasónica del volumen sistólico inducida por la elevación pasiva de la pierna y la respuesta de fluidos: estudio de cohortes observacional" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1337 "Ancho" => 2195 "Tamanyo" => 103802 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Relationship between proportional changes in SV induced by VE and proportional changes in SV induced by PLR. SV, stroke volume; PLR, passive leg raising; VE, volume expansion.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">In critically ill patients at risk for organ failure, the administration of intravenous fluids has equal chances of resulting in benefit or harm. Hence, the assessment of the preload status is a paramount step before any volume expansion (VE) in order to determine in which portion of the Starling curve is located the patient. When the heart is operating on the steep portion of the curve, stroke volume (SV) increases substantially when preload increases with intravenous fluids, which means administration of fluids improves cardiac output and oxygen delivery. In contrast, when the heart is operating on the flat portion of the curve, further increasing preload with intravenous fluids will not substantially increase SV.<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">1,2</span></a> Indeed, large volume fluid resuscitation may contribute to endothelial injury and lead to interstitial edema and organ dysfunction, prolonger mechanical ventilation times, and contribute to the development of intra-abdominal hypertension.<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">3–5</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">It is now recognized that the static preload indices have a moderate interest in fluid responsiveness (FR) prediction and dynamic techniques need to be applied. Changes in stroke volume in response to intravenous fluids are best determined by dynamic indexes. Passive leg raising (PLR) remains one of the most versatile and reversible techniques to assess fluid needs in intensive care unit (ICU) patients.<a class="elsevierStyleCrossRefs" href="#bib0200"><span class="elsevierStyleSup">6,7</span></a> This procedure rapidly returns 200–300<span class="elsevierStyleHsp" style=""></span>ml of blood from the veins of the lower extremities to the central circulation.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">7</span></a> As a result of increased ventricular preload, the stroke volume (SV); and therefore the cardiac output (CO); is augmented according to the degree of preload reserve. And it rapidly reversed when the legs are returned to a horizontal position.</p><p id="par0015" class="elsevierStylePara elsevierViewall">Transthoracic echocardiography (TTE) is increasingly used for non-invasive hemodynamic assessment of critically ill patients since high-quality images and Doppler signals are obtained with recent TTE equipment.<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">8</span></a> The response of the descending aortic blood flow to passive leg raising (PLR) has been proposed to predict volume responsiveness.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">9</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">The aim of our study was to assess the performance of the ultrasound measurement of the SV coupled with PLR to predict FR in the ICU patients.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Patients and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Scope</span><p id="par0025" class="elsevierStylePara elsevierViewall">This study was conducted at the Multipurpose Medical intensive care unit of La Rabta University Hospital. Our unit consists of 8 ICU beds and receives medical pathologies of all types (hemodynamic, respiratory, neurological and metabolic). The traumatic-surgical pathologies do not enter in our activity.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Study design</span><p id="par0030" class="elsevierStylePara elsevierViewall">This was designed as an observational prospective cohort study, over a period of four months (from January 2017 to April 2017). The study was approved by the Ethics Committee of the institutional review board of La Rabta hospital. As the protocol was considered part of routine practice, informed consent was waived following the recommendations of the Ethical Committee. Patients or their legal relatives were informed by the participation in this study.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Patients</span><p id="par0035" class="elsevierStylePara elsevierViewall">Patients were enrolled from the medical ICU and any patient requiring VE as determined by the ICU attending physician was eligible for enrolment. No specific criteria for circulatory insufficiency were required for study entry. The decision of the ICU attending to administer fluid was based on clinical signs of inadequate global perfusion: mean arterial pressure (MAP) below 60<span class="elsevierStyleHsp" style=""></span>mmHg, oliguria (urine output less than 0.5<span class="elsevierStyleHsp" style=""></span>ml/kg per hour for more than 2<span class="elsevierStyleHsp" style=""></span>h), cold extremities, mottled skin, and tachycardia [heart rate (HR) higher than 100/min]. Exclusion criteria were known aortic valve disease, known ascending aortic aneurysm, contraindication to PLR for any reason, and poor cardiac echogenicity.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Protocol and echocardiographic measurements</span><p id="par0040" class="elsevierStylePara elsevierViewall">The echocardiographic examination was performed by the same operator (AT) following training on the device and using a transthoracic ultrasound device (Hitachi Aloka – ARIETTA V60), equipped with the tissue Doppler imaging program and a phased array transducer C251 Convex 5-1<span class="elsevierStyleHsp" style=""></span>Mhz. Conventional echocardiography including M-mode, two-dimensional, and Doppler measurements was performed. Echocardiographic images were recorded together with the electrocardiogram. The device used directly measures the blood flow through the aortic valve.</p><p id="par0045" class="elsevierStylePara elsevierViewall">For each patient studied, echocardiographic measurements were taken in four stages. In stage one the patient was placed in a semi-recumbent position with the head elevated at 45 degrees. In stage two, the patient was positioned supine with the legs straight and elevated at 45 degrees for 90<span class="elsevierStyleHsp" style=""></span>s. The highest plateau value of velocity-time integral of aortic blood flow (VTIAo) recorded during PLR was obtained within the first 90<span class="elsevierStyleHsp" style=""></span>s following leg elevation. Stage three readings were taken 2<span class="elsevierStyleHsp" style=""></span>min after the patient was returned to the baseline position, and stage four immediately following expansion of 500<span class="elsevierStyleHsp" style=""></span>ml of crystalloids over 15<span class="elsevierStyleHsp" style=""></span>min. The different stages of passive leg raising as well as the volume expansion were in accordance with the method described by Monnet et al.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">7</span></a> (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). Vasopressors and ventilator settings were not changed at any time while a patient was being studied.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0050" class="elsevierStylePara elsevierViewall">The stroke volume was calculated as the product of the VTIAo by the aortic valve area. Using the apical five-chamber view the VTIAo was computed from the area under the envelope of the continued-wave doppler signal obtained at the level of the aortic annulus. The VTIAo value was averaged over five consecutive measurements in sinus rhythm patients and over ten measurements in patients with atrial fibrillation. Using the parasternal long axis view the diameter of the aortic orifice was measured at the insertion of the aortic cusp and the aortic valve area was calculated [<span class="elsevierStyleItalic">π</span><span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>(Diameter/2)<span class="elsevierStyleSup">2</span>]. As the diameter of the aortic orifice is assumed to remain constant in a given patient, the diameter was measured once at baseline. The cardiac output was calculated as the product of stroke volume by the heart rate. Thereafter, the studied patients were classified according to their responsiveness to the endogenous (by PLR) and/or exogenous (by VE). Likewise, the left ventricular ejection fraction (LVEF) was measured by the technique of Teicholz in the large-axis parasternal view or simpson on the 4-cavity view (in the presence of segmental kinetics disorders). Also, the inferior vena cava (IVC) diameter was examined within 0.5–3<span class="elsevierStyleHsp" style=""></span>cm from the caval–right atrial junction in the subcostal view and the distensibility index (dIVC) was calculated as the ratio of (<span class="elsevierStyleItalic">D</span><span class="elsevierStyleInf">max</span><span class="elsevierStyleHsp" style=""></span>−<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">D</span><span class="elsevierStyleInf">min</span>)/<span class="elsevierStyleItalic">D</span><span class="elsevierStyleInf">min</span>.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Definition of volume responsiveness</span><p id="par0055" class="elsevierStylePara elsevierViewall">Patients were classified according to their hemodynamic response to VE. Responders had a SV increment of at least 15% in response to VE (an increase in SV from stage one to stage four), while non-responders had a SV increase of less than 15%. Cut-off values of 15% have been previously used as a significant difference between two measures of CO in similar studies.<a class="elsevierStyleCrossRefs" href="#bib0220"><span class="elsevierStyleSup">10–13</span></a> Indeed, this value is considered as the cut-off that predict volume responsiveness in the recent revision on echocardiography in shock management.<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">8</span></a></p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Statistical analysis</span><p id="par0060" class="elsevierStylePara elsevierViewall">Continuous data are expressed as mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation or median [interquartile range 25th–75th percentile (p25–p75)] as appropriate. Hemodynamic variables were compared between responders and non-responders using the nonparametric Mann–Whitney test. The Kruskal–Wallis test was used to test differences between 3 subgroups. The quantitative variables before/after PLR and before/after EV were compared using the non parametric Wilcoxon test for paired series. The area under receiver operating characteristic (ROC) curve was used to measure the predictive values of ultrasound variation of SV after PLR and VE and expressed as the area<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard error. The Spearman test was used to assess the correlation between the SV variations (before/after PLR and before/after VE). Differences with a <span class="elsevierStyleItalic">p</span> value less than 0.05 were considered statistically significant.</p><p id="par0065" class="elsevierStylePara elsevierViewall">Statistical analyses were performed using the SPSS© version 20 software package.</p></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Results</span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Patient characteristics</span><p id="par0070" class="elsevierStylePara elsevierViewall">Twenty-eight patients were examined and 26 were studied. Two patients had to be excluded because of satisfactory doppler signals could not be obtained. Thus, a total of 30 volume challenges in 26 consecutive patients were evaluated. Three patients had more than one study. Repeat studies performed on the same patient were separated in time by at least 24<span class="elsevierStyleHsp" style=""></span>h. The indications of a volume expansion were: septic shock in 21cases, sepsis without shock: 4 cases, metabolic complications of diabetes (ketoacidosis: 1 case and hyperosmolar state occurred during hospitalization: 2 cases), dehydration with deglobulisation following accidental arterial puncture: 1 case (the time waiting blood transfusion) and pancreatitis with a 3rd sector: 1 case. The clinical characteristics are reported in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Assessment of parameters at baseline (stage 1)</span><p id="par0075" class="elsevierStylePara elsevierViewall">The initial hemodynamic measurements are summarized in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>. The responders had a significantly lower initial VTIAo and SV compared with the non-responders (23<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.5 vs 29<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4<span class="elsevierStyleHsp" style=""></span>cm, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.012 and 66<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18 vs 89<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>35<span class="elsevierStyleHsp" style=""></span>ml, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.025). Likewise, the distensibility index of inferior vena cava (dIVC) was higher in responders group (42% vs 18.8%, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.009).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0080" class="elsevierStylePara elsevierViewall">Although the MAP (68<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13 vs 75.05<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14<span class="elsevierStyleHsp" style=""></span>mmHg, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.09), the CO (6.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.3 vs 7.32<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.39<span class="elsevierStyleHsp" style=""></span>L/min, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.35) and the cardiac index (CI) (3.45<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.2 vs 3.96<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.46<span class="elsevierStyleHsp" style=""></span>L/min/m<span class="elsevierStyleSup">2</span>, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.3) were not different between the groups.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Effects of PLR and volume expansion</span><p id="par0085" class="elsevierStylePara elsevierViewall">The hemodynamic readings taken throughout the four stages of measurements are summarized in <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>.</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">During the first step (PLR): there were 21 responders and 9 non-responders. For the responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>21), PLR induced a significant increase in VTI Ao (23<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.5<span class="elsevierStyleHsp" style=""></span>cm vs 29<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.1, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.004), in SV (66<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18<span class="elsevierStyleHsp" style=""></span>ml vs 86<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>17<span class="elsevierStyleHsp" style=""></span>ml, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001), in CO (6.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.3<span class="elsevierStyleHsp" style=""></span>L/min vs 7.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.9<span class="elsevierStyleHsp" style=""></span>L/min, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.04) and in CI (3.45<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.2<span class="elsevierStyleHsp" style=""></span>L/min/m<span class="elsevierStyleSup">2</span> vs 4.32<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.57<span class="elsevierStyleHsp" style=""></span>L/min/m<span class="elsevierStyleSup">2</span>, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001). Although, the heart rate and the MAP were unchanged after PLR in this same group (95.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24<span class="elsevierStyleHsp" style=""></span>beats/min vs 95.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24<span class="elsevierStyleHsp" style=""></span>beats/min, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.74) and (75<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>16<span class="elsevierStyleHsp" style=""></span>mmHg vs 84<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>25<span class="elsevierStyleHsp" style=""></span>mmHg, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.17) respectively. In the non-responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9), PLR did not induce a significant change in any of the hemodynamic values measured.</p><p id="par0095" class="elsevierStylePara elsevierViewall">During the second step (VE): there were 19 responders and 11 non-responders. For the responders group (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>19), VE induced a significant increase in VTI Ao (26<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.6<span class="elsevierStyleHsp" style=""></span>cm vs 31<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.019) and in CI (3.86<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.53<span class="elsevierStyleHsp" style=""></span>L/min/m<span class="elsevierStyleSup">2</span> vs 4.72<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.95<span class="elsevierStyleHsp" style=""></span>L/min/m<span class="elsevierStyleSup">2</span>, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001). No significant increase in SV (78<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>27<span class="elsevierStyleHsp" style=""></span>ml vs 92<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>21<span class="elsevierStyleHsp" style=""></span>ml, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.06) nor in CO (7.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.7<span class="elsevierStyleHsp" style=""></span>L/min vs 8.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.4<span class="elsevierStyleHsp" style=""></span>L/min, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.07) was revealed. Any changes were showed with HR and MAP. For the non-responders, all the parameters were unchanged before or after VE (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Relationship between changes in SV induced by PLR and VE</span><p id="par0100" class="elsevierStylePara elsevierViewall">The proportional changes in SV induced by VE were correlated positively with the proportional changes in SV induced by PLR (Rho score<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.77, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001), with a linear correlation equation calculated at <span class="elsevierStyleItalic">y</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.82 <span class="elsevierStyleItalic">x</span><span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>1.68 (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>).</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">A correlation study between the SV variations induced by PLR and SV variations induced by VE was performed separately: in ventilated patients (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>23) versus in SBP (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>7). Correlation was found to be better in ventilated patients (Spearman coefficient: 0.836 and <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.0001 versus 0.75 and <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.052).</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Ability of PLR maneuver to predict fluid responsiveness</span><p id="par0110" class="elsevierStylePara elsevierViewall">The area under the ROC curve for the percent change in SV during PLR predicting a response to VE was 0.84<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.04. A SV increase induced by PLR of 15% or more predicted volume response with a sensitivity of 94.7%, specificity of 72.7%, positive predictive value of 85.7%, and a negative predictive value of 88% (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>).</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia></span></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Discussion</span><p id="par0115" class="elsevierStylePara elsevierViewall">Our study, in a relatively unselected population of medical ICU patients, demonstrates that non-invasive ultrasonic SV measurement coupled to PLR can predict the hemodynamic response to VE. The initial VTIAo and SV were significantly lower in responders. Of the same order, the distensibility index of IVC was widely upper than 15% and significantly higher in responders. In the responders group: VTIAo, SV and CO were significantly improved by the PLR maneuver. The same effect was observed in these later hemodynamic parameters after VE. The change in SV following VE correlated positively with changes in SV during PLR. Finally, an increase in SV induced by PLR with a cut-off of 15% had a significant ability for predicting response to fluid loading with a sensitivity of 94.7%, specificity of 72.7%, PPV of 85.7%, and NPV of 88%.</p><p id="par0120" class="elsevierStylePara elsevierViewall">Evaluation and management of intravascular volume are a central challenge in caring for the critically ill patients. On the one hand, hemodynamically unstable patients, often require a volume expansion, in keeping with recommendations for treatment of many shock states.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">14</span></a> On the other hand, fluid overload may adversely affect the hemodynamic status. The static measures such as central venous pressure (CVP), pulmonary artery occlusion pressure (PAOP) and extravascular lung water (EVLW) were the first indices developed to assist with predicting volume responsiveness. While they reflect a patient's preload at some point on the Frank-Starling curve, it cannot demonstrate whether there is capacity to advance along the curve and optimize myocardial filament overlap.<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">15</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">The changes in preload indices induced by intrathoracic pressure changes during mechanical ventilation were successfully assessed as predictors of volume responsiveness.<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">15</span></a> Among the indices assessing the relationship between heart/lung interaction and fluid responsiveness, the changes in inferior vena cava diameter expressed as distensibility index of inferior vena cava (dIVC). The accuracy of dIVC in predicting fluid responsiveness has been proved among ventilated patients.<a class="elsevierStyleCrossRefs" href="#bib0250"><span class="elsevierStyleSup">16,17</span></a> While, in spontaneously breathing patients, the collapsibility of the IVC was assessed with favorable results.<a class="elsevierStyleCrossRefs" href="#bib0260"><span class="elsevierStyleSup">18,19</span></a> In our series, the dIVC in ventilated patients had higher accuracy than c IVC in unventilated patients for evaluating fluid responsiveness.</p><p id="par0130" class="elsevierStylePara elsevierViewall">As underlined by several authors, dynamic criteria are better predictors of volume responsiveness than static criteria.<a class="elsevierStyleCrossRefs" href="#bib0270"><span class="elsevierStyleSup">20–22</span></a> In this way, PLR, which is a simple, dynamic and reversible maneuver, has been proposed by Boulain et al.<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">23</span></a> to predict fluid responsiveness in mechanically ventilated patients. A strong correlation between SV variations induced by PLR and by VE, measured by TTE analysis of aortic blood flow, was previously reported by Lamia et al.<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">24</span></a> and sustained by our results. Among several TTE markers assessed in this latter study, the SV variation induced by PLR was the better predictor of fluid responsiveness.<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">24</span></a> Other studies in medical or surgical ICUs showed good sensitivity (77–100%) and specificity (88–99%) using a threshold of 10–15% increment of SV or CO.<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">12,24–28</span></a></p><p id="par0135" class="elsevierStylePara elsevierViewall">Our findings further suggest that the accuracy of this dynamic tool in predicting FR had higher accuracy for evaluating fluid responsiveness in ventilated patients than unventilated.</p><p id="par0140" class="elsevierStylePara elsevierViewall">Our sensitivity (94.7%) is comparable with these studies, but our specificity (72.7%) is somewhat lower. Our high sensitivity with a good NPV allows us to assert that this test of SV increase by PLR is useful to exclude a benefit from fluid responsiveness when the SV increase is less than 15%. Our lower specificity may be the result of inclusion of patients regardless of underlying co-morbidities, mainly the cardiac and renal failure. As well as the respiratory support including ventilator setting variations (tidal volume: 6–8<span class="elsevierStyleHsp" style=""></span>ml/kg and PEEP: 5–10<span class="elsevierStyleHsp" style=""></span>cm H<span class="elsevierStyleInf">2</span>O) may influence the effect of PLR in SV.<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">24</span></a></p><p id="par0145" class="elsevierStylePara elsevierViewall">Anyway, the analysis of aortic blood flow using TTE in order to evaluate change in SV or CO in response to PLR maneuver grow to be an inevitable practice in ICU patients. A panel of experts [from the Spanish Society of Intensive and Critical Care Medicine and Coronary Units (SEMICYUC)] worked for the standardization of the Intensive Care Medicine and elaborated a several recommendations, in order to improve the management of critically ill patient.<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">29</span></a> For the hemodynamic monitoring, ultrasound was considered as a tool to improve patient care quality and safety.<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">29</span></a> Indeed, ultrasound monitoring is useful in the diagnosis of shock, cardiorespiratory arrest or respiratory failure.<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">29</span></a> This non-invasive device allows an optimization of clinical management, evaluation of response to given therapy, avoids iatrogenic and help to select who patient requiring an invasive monitoring.<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">29</span></a></p><p id="par0150" class="elsevierStylePara elsevierViewall">TTE techniques appear useful also, in patients with spontaneous respiratory effort and those with arrhythmias<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">27</span></a> conversely to many of invasive monitoring techniques.<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">30</span></a> In addition, much of the data derived from pulmonary artery catheter (PAC) can be obtained using TTE by avoiding the invasiveness and the rampant misinterpretation of data.<a class="elsevierStyleCrossRefs" href="#bib0325"><span class="elsevierStyleSup">31–33</span></a></p><p id="par0155" class="elsevierStylePara elsevierViewall">Finally, the recent large review<a class="elsevierStyleCrossRef" href="#bib0340"><span class="elsevierStyleSup">34</span></a> (50 studies, <span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2260 patients) aiming to identify predictors of fluid responsiveness in hemodynamically unstable patients showed that the most useful test was the measurement of change in CO induced by PLR with (positive LR, 11 [95% CI, 7.6–17]; negative LR, 0.13 [95% CI, 0.07–0.22]). These results were similar during controlled ventilation or spontaneous breathing (positive LR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>11 [95% CI, 6.3–21] vs 7.0 [95% CI, 3.8–13.1] and negative LR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.08 [95% CI, 0.03–0.21] vs 0.22 [95% CI, 0.09–0.54]).</p><p id="par0160" class="elsevierStylePara elsevierViewall">The weakness of our study is the small sample size and the unselected nature of the studied population. In this way, another study is being carried out to evaluate the performance of this technique to predict fluid responsiveness in patients with spontaneous breathing and with underlying cardiac disease versus those mechanically ventilated. Another limitation to note is the absence of more than one explorer who performed the TTE. That leads to a lack of a critical revision by other independent explores and therefore absence of a concordance test.</p></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Conclusion</span><p id="par0165" class="elsevierStylePara elsevierViewall">Our findings strengthen further the hypothesis that volume expansion can be predicted by a simple non-invasive tool (ultrasound SV coupled with PLR) in patients presumed requiring volume expansion.</p></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Funding</span><p id="par0170" class="elsevierStylePara elsevierViewall">This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.</p></span><span id="sec0090" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0155">Authors’ contributions</span><p id="par0175" class="elsevierStylePara elsevierViewall">AT, SA and SBL designed the study. FD, RN and YT contributed to data collection. AT wrote the manuscript and performed the statistical analysis. SA and SBL participated in its critical revision. All authors read and approved the final manuscript.</p></span><span id="sec0095" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0160">Conflict of interest</span><p id="par0180" class="elsevierStylePara elsevierViewall">The authors declare that they have no competing interests.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:14 [ 0 => array:3 [ "identificador" => "xres1202641" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Design" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1120417" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "xpalclavsec1120416" "titulo" => "Abbreviations" ] 3 => array:3 [ "identificador" => "xres1202640" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Diseño" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusión" ] ] ] 4 => array:2 [ "identificador" => "xpalclavsec1120418" "titulo" => "Palabras clave" ] 5 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 6 => array:3 [ "identificador" => "sec0010" "titulo" => "Patients and methods" "secciones" => array:6 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Scope" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Study design" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Patients" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Protocol and echocardiographic measurements" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Definition of volume responsiveness" ] 5 => array:2 [ "identificador" => "sec0040" "titulo" => "Statistical analysis" ] ] ] 7 => array:3 [ "identificador" => "sec0045" "titulo" => "Results" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0050" "titulo" => "Patient characteristics" ] 1 => array:2 [ "identificador" => "sec0055" "titulo" => "Assessment of parameters at baseline (stage 1)" ] 2 => array:2 [ "identificador" => "sec0060" "titulo" => "Effects of PLR and volume expansion" ] 3 => array:2 [ "identificador" => "sec0065" "titulo" => "Relationship between changes in SV induced by PLR and VE" ] 4 => array:2 [ "identificador" => "sec0070" "titulo" => "Ability of PLR maneuver to predict fluid responsiveness" ] ] ] 8 => array:2 [ "identificador" => "sec0075" "titulo" => "Discussion" ] 9 => array:2 [ "identificador" => "sec0080" "titulo" => "Conclusion" ] 10 => array:2 [ "identificador" => "sec0085" "titulo" => "Funding" ] 11 => array:2 [ "identificador" => "sec0090" "titulo" => "Authors’ contributions" ] 12 => array:2 [ "identificador" => "sec0095" "titulo" => "Conflict of interest" ] 13 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2017-06-13" "fechaAceptado" => "2017-11-11" "PalabrasClave" => array:2 [ "en" => array:2 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1120417" "palabras" => array:5 [ 0 => "Stroke volume" 1 => "Passive leg raising" 2 => "Volume expansion" 3 => "Echocardiography" 4 => "Fluid responsiveness" ] ] 1 => array:4 [ "clase" => "abr" "titulo" => "Abbreviations" "identificador" => "xpalclavsec1120416" "palabras" => array:26 [ 0 => "VE" 1 => "SV" 2 => "FR" 3 => "PLR" 4 => "ICU" 5 => "CO" 6 => "EE" 7 => "MAP" 8 => "VTIAo" 9 => "LVEF" 10 => "IVC" 11 => "dIVC" 12 => "ROC" 13 => "IQR" 14 => "SAPS" 15 => "SOFA" 16 => "PEEP" 17 => "HR" 18 => "cIVC" 19 => "SBP" 20 => "AUC" 21 => "CVP" 22 => "EVLA" 23 => "PAC" 24 => "PPV" 25 => "NPV" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1120418" "palabras" => array:5 [ 0 => "Volumen sistólico" 1 => "Elevación pasiva de las piernas" 2 => "Expansión volumétrica" 3 => "Ecocardiografía" 4 => "Capacidad de respuesta" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To assess the performance of the ultrasound measurement of stroke volume (SV) coupled to passive leg raising (PLR) in predicting fluid responsiveness (FR).</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Design</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">A prospective cohort study was carried out in patients requiring volume expansion (VE). A transthoracic Doppler echocardiography (TTE) device was used for the measurement of SV. Four measurements were obtained: before and 90<span class="elsevierStyleHsp" style=""></span>s after PLR, and before and after VE. The patients were subsequently classified according to their hemodynamic response to VE. Responders were defined by an increase in SV of at least 15% in response to VE.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Thirty maneuvers were studied. An increase in SV<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>15% in response to PLR was recorded in 21 cases. Hemodynamic indices taken in the first stage showed significant differences in the distensibility index of the inferior vena cava (dIVC), in the velocity-time integral of aortic blood flow (VTIAo) and in SV, with respective <span class="elsevierStyleItalic">p</span>-values of 0.009, 0.012 and 0.025. The SV changes induced by VE were significantly correlated to the SV changes induced by PLR, with a Spearman coefficient of 0.77 and a linear equation <span class="elsevierStyleItalic">y</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.82 <span class="elsevierStyleItalic">x</span><span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>1.68. Fluid responsiveness can be efficiently predicted by assessing the effects of PLR on SV monitored by Doppler TTE, with a sensitivity of 94.7% and a negative predictive value of 88%.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Our data support the interest of Doppler TTE as an effective tool in predicting FR through the assessment of SV in response to PLR, in hemodynamically unstable patients.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Design" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Evaluar el rendimiento de la medida del volumen sistólico (VS) por ultrasonido junto con la elevación pasiva de piernas (EPP) para predecir la respuesta de fluidos (RF).</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Diseño</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudio prospectivo de cohorte realizado en pacientes que requieren expansión de volumen (EV). Se utilizó un dispositivo doppler ecocardiográfico transtorácico (ETT) para la medición del VS. Se obtuvieron 4 mediciones: antes y 90<span class="elsevierStyleHsp" style=""></span>s después de la EPP, y antes y después de la EV. Posteriormente, los pacientes se clasificaron según su respuesta hemodinámica a VE. Los respondedores se definieron por un aumento del VS de al menos 15% en respuesta a EV.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Se estudiaron 30 maniobras. Un aumento del VS<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>15% en respuesta a la EPP se informó en 21 casos. Los índices hemodinámicos tomados en la primera etapa mostraron diferencias significativas en el índice de distensibilidad de la vena cava inferior (dVCI), en la integral velocidad-tiempo del flujo sanguíneo aórtico (IVTAo) y en el VS con valores p respectivos en 0,009, 0,012 y 0,025. Los cambios del VS inducidos por EV se correlacionaron significativamente con los cambios del VS inducidos por EPP con un coeficiente de Spearman en 0,77 y una ecuación lineal en y<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,82<span class="elsevierStyleHsp" style=""></span>× +<span class="elsevierStyleHsp" style=""></span>1,68. La respuesta de fluidos se puede predecir eficazmente mediante la evaluación de los efectos de EPP en el VS vigilado por ETT-doppler con sensibilidad en el 94,7% y VPN en el 88%.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusión</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Nuestros datos respaldan el interés del ETT-doppler como una herramienta eficaz en la predicción de la RF por la evaluación del VS en respuesta a la EPP en pacientes hemodinámicamente inestables.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Diseño" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusión" ] ] ] ] "multimedia" => array:6 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1753 "Ancho" => 2500 "Tamanyo" => 193233 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Used method for passive leg raising as described by Monnet et al.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">7</span></a></p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1337 "Ancho" => 2195 "Tamanyo" => 103802 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Relationship between proportional changes in SV induced by VE and proportional changes in SV induced by PLR. SV, stroke volume; PLR, passive leg raising; VE, volume expansion.</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1182 "Ancho" => 1474 "Tamanyo" => 95778 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">ROC curve showing the ability of PLR induced changes in SV of at least 15% to predict fluid responsiveness. ROC, receiver operating characteristics; PLR, passive leg raising; SV, stroke volume; AUC, area under the curve; PPV, positive predictive value; NPV, negative predictive value.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">SAPS, Simplified Acute Physiology Score; SOFA, Sequential Organ Failure Assessment Score; PEEP, positive end-expiratory pressure.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Characteristics \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Patients (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>26) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Age (years), median (p25–p75)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">48 (44–56) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">SAPS II, median (p25–p75)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">32 (28–46) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">SOFA, median (p25–p75)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5 (3–8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Body surface area (m</span><span class="elsevierStyleSup"><span class="elsevierStyleBold">2</span></span><span class="elsevierStyleBold">), median (p25–p75)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.84 (1.62–2.06) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Underlying diseases,</span><span class="elsevierStyleItalic"><span class="elsevierStyleBold">n</span></span><span class="elsevierStyleBold">(%)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Cardiac failure</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Respiratory failure</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Hypertension</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (16%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Diabetes</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (16%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Renal failure</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 (27%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Reason for admission,</span><span class="elsevierStyleItalic"><span class="elsevierStyleBold">n</span></span><span class="elsevierStyleBold">(%)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Acute respiratory failure</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 (42%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Septic shock</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10 (39%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Coma</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (16%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Ketoacidosis</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (3%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Etiology of circulatory insufficiency (total cases</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">=</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">30)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Hypovolemia of septic origin: n/30 (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25/30 (83%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Hypovolemia of non-septic origin, n/30 (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5/30 (17%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Vasopressive agents,</span><span class="elsevierStyleItalic"><span class="elsevierStyleBold">n</span></span><span class="elsevierStyleBold">(%)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Norepinephrine</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 (46%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Epinephrine</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (3%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Respiratory support (%)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Oxygenotherapy</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5 (20%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Mechanical venilation: ventilator settings:</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21 (80%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Tidal volume (ml/kg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.7 (6–8.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>PEEP (cm H<span class="elsevierStyleInf">2</span>O) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 (5–10) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2055630.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Patient characteristics.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">HR, heart rate; SD, standard deviation; MAP, Mean arterial pressure (mmHg); LVEF, left ventricular ejection fraction; dIVC, distensibility index of inferior vena cava; cIVC, collapsibility index of IVC; SBP, Spontaneously Breathing Patients; VTIAo, velocity-time integral of aortic blood flow; SV, stroke volume; CO, cardiac output; CI: cardiac index.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Parameters \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">All patients (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>30) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>21) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Non-responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HR (beats/min), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">91<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">95<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">84<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.18 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">MAP (mmHg), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">72<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">68<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">75.05<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.09 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LVEF (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">55.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">56.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">55.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.77 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">dIVC (%) in ventilated patients \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">42 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.009 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">cIVC (%) in SBP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">41 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">33 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">VTIAo (cm), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.012 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SV (ml), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">73<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">66<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">89<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>35 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.025 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CO (L/min), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.32<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.39 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.35 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CI (L/min/m<span class="elsevierStyleSup">2</span>), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.45<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.96<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.46 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2055629.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Initial hemodynamic parameters taken in stage one.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">PLR, passive leg raising; VE, volume expansion; HR, heart rate; MAP, mean arterial pressure; VTIAo, velocity-time integral of aortic blood flow; SV, stroke volume; CO, cardiac output; CI: cardiac index.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Before PLR \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">After PLR \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Before VE \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">After VE \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">HR (beats/min)</span></td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">HR (beats/min)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">95.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">95.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">93<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">93<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>25 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">86<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">88<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">87<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>19 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">MAP (mmHg)</span></td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">MAP (mmHg)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">75<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">84<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">77<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">78<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">91<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">92<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">VTI Ao (cm)</span></td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">VTI Ao (cm)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.1<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a><span class="elsevierStyleSup">0.004</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a><span class="elsevierStyleSup">0.019</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">30<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">SV (ml)</span></td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">SV (ml)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">66<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">86<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>17<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a><span class="elsevierStyleSup">0.001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">78<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>27 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">92<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>21<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">**</span></a><span class="elsevierStyleSup">0.06</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">89<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>35 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">94<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">79<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">85<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>18 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">CO (L/mn)</span></td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">CO (L/mn)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.9<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a><span class="elsevierStyleSup">0.04</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.4<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">**</span></a><span class="elsevierStyleSup">0.07</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.02<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">CI (L/mn/m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">)</span></td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">CI (L/mn/m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.45<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.32<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.57<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a><span class="elsevierStyleSup"><0.0001</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.86<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.53 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.72<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.95<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a><span class="elsevierStyleSup"><0.0001</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.96<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.46 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.27<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.32 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>N. responders (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.84<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.21 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.09<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.32 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2055628.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Significant change.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "**" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Near to significance.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Hemodynamic parameters taken throughout the four stages of measurement (results expressed in mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>SD).</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:34 [ 0 => array:3 [ "identificador" => "bib0175" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "On the mechanical factors which determine the output of the ventricles" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "S.W. 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año/Mes | Html | Total | |
---|---|---|---|
2024 Noviembre | 11 | 26 | 37 |
2024 Octubre | 88 | 117 | 205 |
2024 Septiembre | 87 | 79 | 166 |
2024 Agosto | 78 | 110 | 188 |
2024 Julio | 72 | 62 | 134 |
2024 Junio | 109 | 87 | 196 |
2024 Mayo | 59 | 74 | 133 |
2024 Abril | 89 | 71 | 160 |
2024 Marzo | 91 | 44 | 135 |
2024 Febrero | 90 | 59 | 149 |
2024 Enero | 74 | 84 | 158 |
2023 Diciembre | 80 | 70 | 150 |
2023 Noviembre | 94 | 97 | 191 |
2023 Octubre | 77 | 95 | 172 |
2023 Septiembre | 71 | 88 | 159 |
2023 Agosto | 62 | 47 | 109 |
2023 Julio | 81 | 59 | 140 |
2023 Junio | 69 | 55 | 124 |
2023 Mayo | 72 | 68 | 140 |
2023 Abril | 76 | 67 | 143 |
2023 Marzo | 135 | 103 | 238 |
2023 Febrero | 108 | 55 | 163 |
2023 Enero | 119 | 63 | 182 |
2022 Diciembre | 77 | 75 | 152 |
2022 Noviembre | 81 | 77 | 158 |
2022 Octubre | 88 | 72 | 160 |
2022 Septiembre | 71 | 49 | 120 |
2022 Agosto | 78 | 49 | 127 |
2022 Julio | 77 | 54 | 131 |
2022 Junio | 64 | 62 | 126 |
2022 Mayo | 89 | 58 | 147 |
2022 Abril | 71 | 76 | 147 |
2022 Marzo | 94 | 117 | 211 |
2022 Febrero | 95 | 58 | 153 |
2022 Enero | 147 | 95 | 242 |
2021 Diciembre | 94 | 79 | 173 |
2021 Noviembre | 144 | 67 | 211 |
2021 Octubre | 214 | 106 | 320 |
2021 Septiembre | 136 | 74 | 210 |
2021 Agosto | 101 | 77 | 178 |
2021 Julio | 82 | 30 | 112 |
2021 Junio | 95 | 23 | 118 |
2021 Mayo | 128 | 73 | 201 |
2021 Abril | 280 | 150 | 430 |
2021 Marzo | 242 | 58 | 300 |
2021 Febrero | 178 | 53 | 231 |
2021 Enero | 152 | 34 | 186 |
2020 Diciembre | 139 | 27 | 166 |
2020 Noviembre | 128 | 35 | 163 |
2020 Octubre | 106 | 35 | 141 |
2020 Septiembre | 92 | 44 | 136 |
2020 Agosto | 96 | 34 | 130 |
2020 Julio | 145 | 27 | 172 |
2020 Junio | 77 | 38 | 115 |
2020 Mayo | 136 | 29 | 165 |
2020 Abril | 118 | 23 | 141 |
2020 Marzo | 85 | 24 | 109 |
2020 Febrero | 237 | 53 | 290 |
2020 Enero | 120 | 51 | 171 |
2019 Diciembre | 125 | 33 | 158 |
2019 Noviembre | 112 | 31 | 143 |
2019 Octubre | 97 | 42 | 139 |
2019 Septiembre | 94 | 42 | 136 |
2019 Agosto | 83 | 41 | 124 |
2019 Julio | 77 | 32 | 109 |
2019 Junio | 87 | 29 | 116 |
2019 Mayo | 81 | 40 | 121 |
2019 Abril | 63 | 35 | 98 |
2019 Marzo | 20 | 24 | 44 |
2019 Febrero | 417 | 31 | 448 |
2019 Enero | 15 | 11 | 26 |
2018 Noviembre | 1 | 0 | 1 |
2018 Octubre | 3 | 0 | 3 |
2018 Junio | 0 | 1 | 1 |
2018 Mayo | 0 | 3 | 3 |
2018 Abril | 0 | 1 | 1 |
2018 Febrero | 0 | 1 | 1 |
2017 Diciembre | 0 | 1 | 1 |